Sr Applied Scientist, Recommendations
About The Position
Our Recommendations team works on delivering item recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learning ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. We are exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI. We are looking for an Applied Scientist and innovator who can drive state of the art ML modeling and get systems into production at eBay scale.
Requirements
- MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
- Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
- Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
- Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
- Experience with using cloud services, big data pipelines and databases
Responsibilities
- Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.
- Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.
- Develop and deploy innovative models in the context of recommender systems.
- Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.
- Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day.
- Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.
Benefits
- RRSP eligibility
- various paid time off benefits, such as PTO and parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
